Capitalogix

30+ Years Of The Internet ...

When people think about CERN, they generally think about nuclear research, the Large Hadron Collider, and other physics research. 

But, CERN was also where Tim Berners-Lee invented the World Wide Web. In March of 1989, he published “Information Management: A Proposal,” which outlined his vision for what would soon become the World Wide Web.  

CERN also had the first website ever to exist. Luckily, they kept the site up and will let you view it in the old-school line mode.

 

via CERN

It's been 35 years since the release of the World Wide Web (the Internet is said to have been invented six years earlier with the invention of TCP/IP).

Think how much that one invention has had on the world. 

Information Gathering 

I remember being in law school, going to the library and scanning through microfiche (or actual books) to study or do research.

I remember reading encyclopedias (and photocopying relevant articles). 

I remember paying for newsletters that were mailed to me (or paying extra for fax delivery).

Having access to more data or faster delivery was a huge advantage.

Today, you have all the information you could ever ask for at the tip of your fingers ... Google and Wikipedia are just the tip of the iceberg.

There is almost too much information now.  It is hard to separate the signal from the noise.  It seems like anyone can find justification for almost anything.  The result is lots of data, but too little knowledge.

Part of what is needed is a way to help people make better decisions about what to trust, what it means, and what to use.

Social Interaction

People record every moment, every intimate detail of their lives online, contrasted by a fear of strangers and letting children roam. 

While riding around the neighborhood on your bike to see if your friends could come out to play is by no means outlawed - it does seem passé. 

Chat rooms, Facebook, Online multi-player ... many people's key friendships are born and kept online. 

I remember my son, 13 years old at the time, sending 10,000+ texts a month and thinking it was a phase. I was wrong. 

The internet has radically changed the structure of relationships - for better ... or often worse. 

Privacy ( ... or the lack of it)

One of the most significant changes is that we (as individuals) have become productized. We take advantage of all these free resources at the cost of being pixeled and cookied into oblivion. We've chosen convenience over safety. 

Remember, if you’re not paying for a product - you are the product.

Little bits of our private information, demographics, and psychographics are sold to advertisers to create smarter ads and new offers; and, realistically, we have very little control over that.

It’s been proven time and time again that giants like Google and Facebook will find ways to sneak your data to advertisers even when it’s “illegal” with a slap on the wrist.

Data protection is a massive issue not only for corporations but for individuals. While many companies are trying to manage your privacy while still monetizing your data, there are just as many companies who couldn’t care less.

The GPDR - while frustrating for many - is a step towards protecting individuals.

For every action, there is a reaction.  Likewise, every benefit has a cost. The internet is a fantastic tool - but it can also be a scary weapon. 

 

What will the next 30 years hold for the Internet?

"The Internet will disappear. There will be so many IP addresses, so many devices, sensors, things that you are wearing, things that you are interacting with, that you won't even sense it. It will be part of your presence all the time. Imagine you walk into a room, and the room is dynamic. And with your permission and all of that, you are interacting with the things going on in the room." — Eric Schmidt

It has been ~30 years since the Internet's inception, and there's still radical growth coming. 

We’ve gone from bit speeds to megabyte speeds (and if you're lucky, even gigabyte speeds). We’ve gone from crappy-quality video taking hours to download to streaming HD-quality video live.

How do you imagine that the Internet will evolve?

What influence do you think the Internet of Things will have?

It’s hard to foresee how innovation and regulation will change the internet, but it’s clear there will be change.

We live in exciting times!

2024 Update: What Happens In An Internet Minute

The Internet is both timeless and timely in an interesting way.  While what's popular changes seemingly instantly, and what we're capable of doing on it continues to grow exponentially.  Ultimately, the Internet is the digital town square of a global village, where all types and professions gather. 

In 2011, I first wrote about what happens in 60 seconds on the Internet. 

I've since updated the article a few times.

• 2014
• 2018

Each time I write the article, I'm in awe at the amount of data we create and how much it has grown.  For example, looking back to 2011, I was amazed that users created 600+ new videos and 60 new blog posts each minute.  Those numbers seem quaint today. 

 

via DOMO

Shortly after I started sharing the articles, Data Never Sleeps started standardizing the data, which is helpful. 

Today, the Internet reaches 5.4 billion people.  Most of them also use social media. 

To add some more perspective, 

• In 2008, 1.4 billion people were online; in 2015, we were at 3 billion.  Now, that number has almost doubled again. 
• In 2008, Facebook only had 80 million users, and Twitter (now X) had 2 million users.
• In 2008, there were 250 million smartphones, and now there are almost 7 billion of them!

It is mind-blowing to consider what happens each minute on the Internet today.  For example, the 104,000 hours spent on Zoom represents a significant societal shift ... and the over 500 hours of video uploaded to YouTube highlights the incredible amount of content that's being created to share. 

In 2023, the world created approximately 120 zettabytes of data ... which breaks down to approximately 337,000 petabytes of data a day.  Broken down even further, it calculates to more than 15 Terabytes of new data created per person. 

The calculations about what happens in an Internet minute will change rapidly again because of AI.  Consider the amount of computing power and data it takes to power all of these new GPTs. Now, imagine the amount of new data that AI is creating.  Then, try to imagine the challenge we'll have figuring out what's real, what's made up, and what is simply wrong or intentionally misleading.

In addition, as more devices and digital WHOs start creating and sharing data, it's hard to fathom the ramifications and sheer increase in data. 

I'm curious about what the next five years have in store for us as we approach the 40th anniversary of the World Wide Web. 

Cognitive Biases & The Consequences of Labeling

“Words can be twisted into any shape. Promises can be made to lull the heart and seduce the soul. In the final analysis, words mean nothing.
They are labels we give things in an effort to wrap our puny little brains around their underlying natures,
when ninety-nine percent of the time the totality of the reality is an entirely different beast.
The wisest man is the silent one. Examine his actions. Judge him by them.”
― Karen Marie Moning

Continuing with the theme of cognitive biases, the upcoming election has me thinking about the consequences of labeling things, creating boxes, and simplifying ideas into news-ready headlines.

With more news sources than ever and less attention span, you see ideas packaged into attention-grabbing parts.  The focus isn't on education or the issues, but on getting the click, making your stay on their page longer, and sending you to a new article utterly unrelated to why you clicked on the page.

Complex issues are simplified – not even into their most basic forms – but instead into their most divisive forms ... because there's no money in the middle.

via Quote Investigator

The amplified voices are those on the fringe of the average constituents' beliefs – precisely because those are the ones who are often the most outspoken.  We might think that because they're the voices we hear, these fringe messages fairly represent what people like us believe or think ... but they rarely do. 

Issues that should be bipartisan have been made "us" versus "them," "liberal" versus "conservative," or "right" versus "wrong." The algorithms many of our information sites use create echo chambers that increase radicalization and decrease comprehension. 

Identity politics have gotten so strong that you see families breaking apart and friend groups disintegrating ... because people can't imagine sharing a room with someone with whom they don't share the same values. 

In psychology, heuristics are mental models that help you make decisions easier.  They're a starting point to save mental bandwidth, allowing you to spend more brain cycles on the important stuff.

That's a great use of "boxes" and "simplification"… but it shouldn't eliminate deeper and more nuanced thought on important issues. 

Most situations are nuanced, and the "correct" answer changes as you change your vantage point.

In an ideal world, we'd consider every angle.  I recognize that's not realistic.

Instead, I encourage you to remember to continue to think and learn ... even about things you already know.  And, if you become familiar with the most common cognitive biases, you can hopefully identify them in your thinking and decision-making.

Confirmation Bias is one of the more common forms of cognitive bias.  Here is an infographic that lists 50 common cognitive biases.  Click to explore further.

 

via VisualCapitalist

Important issues deserve more research.  New insights happen between the boundaries of what we know and don't.  Knowledge comes from truly understanding the border between what you are certain and uncertain about. 

I challenge you to look beyond the headlines, slogans, and talking points you like most.  Look for dissenting opinions and understand what's driving their dissent.  Are they really blind or dumb (or are their value systems just weighted differently)?

Not everything needs to be boxed.  Not everything needs to be simple.  You should explore things and people outside of your comfort zone and look to see things from their point of view ... not your own. 

Recently, I've started using a website and news app called Ground News.  They claim to be a news platform that makes it easy to compare news sources, read between the lines of media bias, and break free from algorithms. 

As discussed above, online news and ad-driven algorithms have made it profitable for news outlets to embrace a position on the bias spectrum to target specific consumers.   That bias in the media affects everything from what events receive coverage to how a news outlet frames those events in their reporting.

As media outlets narrow their perspective and range of coverage, I use Ground to help me get a well-rounded view of important issues and become aware of my blind spots.

Applying This Lesson  

“I am ashamed to think how easily we capitulate to badges and names, to large societies and dead institutions.”
― Ralph Waldo Emerson, Self-Reliance

I love learning a lesson in one space and applying it to other spaces.  It's one of the cool things about AI.  An algorithm can learn rules in the construction space that may help in the medicine or trading space.  Everything's a lesson if you let it be.

In that vein, the lesson on labeling also applies to yourself and your business.  Don't get me wrong - naming things is powerful.  It can help make the intangible tangible.  However, don't let the label (or your perception of the label) stop you from achieving something greater. 

Many things are true because we believe them to be, but when we let go of past beliefs, the impossible becomes possible, and the invisible becomes visible.  

Hope that helps. 

“Words can be twisted into any shape. Promises can be made to lull the heart and seduce the soul. In the final analysis, words mean nothing.
They are labels we give things in an effort to wrap our puny little brains around their underlying natures,
when ninety-nine percent of the time the totality of the reality is an entirely different beast.
The wisest man is the silent one. Examine his actions. Judge him by them.”
― Karen Marie Moning

Continuing with the theme of cognitive biases, the upcoming election has me thinking about the consequences of labeling things, creating boxes, and simplifying ideas into news-ready headlines.

With more news sources than ever and less attention span, you see ideas packaged into attention-grabbing parts.  The focus isn't on education or the issues, but on getting the click, making your stay on their page longer, and sending you to a new article utterly unrelated to why you clicked on the page.

Complex issues are simplified – not even into their most basic forms – but instead into their most divisive forms ... because there's no money in the middle.

via Quote Investigator

The amplified voices are those on the fringe of the average constituents' beliefs – precisely because those are the ones who are often the most outspoken.  We might think that because they're the voices we hear, these fringe messages fairly represent what people like us believe or think ... but they rarely do. 

Issues that should be bipartisan have been made "us" versus "them," "liberal" versus "conservative," or "right" versus "wrong." The algorithms many of our information sites use create echo chambers that increase radicalization and decrease comprehension. 

Identity politics have gotten so strong that you see families breaking apart and friend groups disintegrating ... because people can't imagine sharing a room with someone with whom they don't share the same values. 

In psychology, heuristics are mental models that help you make decisions easier.  They're a starting point to save mental bandwidth, allowing you to spend more brain cycles on the important stuff.

That's a great use of "boxes" and "simplification"… but it shouldn't eliminate deeper and more nuanced thought on important issues. 

Most situations are nuanced, and the "correct" answer changes as you change your vantage point.

In an ideal world, we'd consider every angle.  I recognize that's not realistic.

Instead, I encourage you to remember to continue to think and learn ... even about things you already know.  And, if you become familiar with the most common cognitive biases, you can hopefully identify them in your thinking and decision-making.

Confirmation Bias is one of the more common forms of cognitive bias.  Here is an infographic that lists 50 common cognitive biases.  Click to explore further.

 

via VisualCapitalist

Important issues deserve more research.  New insights happen between the boundaries of what we know and don't.  Knowledge comes from truly understanding the border between what you are certain and uncertain about. 

I challenge you to look beyond the headlines, slogans, and talking points you like most.  Look for dissenting opinions and understand what's driving their dissent.  Are they really blind or dumb (or are their value systems just weighted differently)?

Not everything needs to be boxed.  Not everything needs to be simple.  You should explore things and people outside of your comfort zone and look to see things from their point of view ... not your own. 

Recently, I've started using a website and news app called Ground News.  They claim to be a news platform that makes it easy to compare news sources, read between the lines of media bias, and break free from algorithms. 

As discussed above, online news and ad-driven algorithms have made it profitable for news outlets to embrace a position on the bias spectrum to target specific consumers.   That bias in the media affects everything from what events receive coverage to how a news outlet frames those events in their reporting.

As media outlets narrow their perspective and range of coverage, I use Ground to help me get a well-rounded view of important issues and become aware of my blind spots.

Applying This Lesson  

“I am ashamed to think how easily we capitulate to badges and names, to large societies and dead institutions.”
― Ralph Waldo Emerson, Self-Reliance

I love learning a lesson in one space and applying it to other spaces.  It's one of the cool things about AI.  An algorithm can learn rules in the construction space that may help in the medicine or trading space.  Everything's a lesson if you let it be.

In that vein, the lesson on labeling also applies to yourself and your business.  Don't get me wrong - naming things is powerful.  It can help make the intangible tangible.  However, don't let the label (or your perception of the label) stop you from achieving something greater. 

Many things are true because we believe them to be, but when we let go of past beliefs, the impossible becomes possible, and the invisible becomes visible.  

Hope that helps. 

The Law (And Flaw) Of Averages

The law of averages is a principle that supposes most future events are likely to balance any past deviation from a presumed average.

Take, for example, flipping a coin.  If you happen to get 5 "Heads" in a row, you'd most likely assume the next one should be "Tails" ... even though each flip has a 50/50 chance of landing on either. 

Even from this example, you can tell it's a flawed law.  While there are some reasonable mathematical uses of the law of averages, in everyday life, this "law" mostly represents wishful thinking. 

It's also one of the most common fallacies succumbed to by gamblers and traders. 

The concept of "Average" is more confusing and potentially damaging than you might suspect.

Perhaps you heard the story about how the U.S. Air Force discovered the 'flaw' of averages by creating cockpits based on complex mathematics surrounding the average height, width, arm length, etc., of over 4,000 pilots.  Despite engineering the cockpit to precise specifications, pilots crashed their planes on a too-regular basis. 

The reason?  With hindsight, they learned that very few of those 4,000 pilots were actually "average".  Ultimately, the Air Force re-engineered the cockpit and fixed the problem. 

It's a good reminder that 'facts' can lie, and assumptions and interpretations are dangerous.  It's why I prefer taking decisive action on something known, rather than taking tentative actions about something guessed. 

via ReasonTV

Our Brains and the Illusion of Balance

Our brains are wired to find patterns, even in random events.  This tendency, known as apophenia, can lead us to see connections where none exist.

The Misleading Law of Averages

It's this very tendency that fuels the misconception of the law of averages.  We expect randomness to "even out" because we see patterns in short sequences.  This can be tempting to believe, especially when dealing with chance events.

The law of averages is a common idea that suggests future events will even out past results to reach some average outcome.  For instance, going back to our earlier coin-flipping example,  after getting five heads in a row, it's natural to assume the next flip is "due" to be tails.  However, that's not how probability works.  Each coin flip is an independent event (with a 50% chance of landing on heads or tails), regardless of previous flips.  The coin doesn't "remember" what happened before.

Apophenia isn't limited to coin flips.  For instance, you might see your lucky number appearing repeatedly throughout the day, leading you to believe it has a special meaning – even though each instance is completely independent.

This natural desire for order and predictability can lead us astray when dealing with chance events.

Why is it Flawed?

The law of averages often leads to a misconception called the gambler's fallacy.  This fallacy is the belief that random events can somehow "correct" themselves to reach an average.  In reality, every coin flip, roll of the dice, or spin of the roulette wheel is a fresh start with its own discrete probabilities.  The odds remain the same no matter how long the losing streak persists.

Are there ever times when it applies?

It's important to distinguish the law of averages from the law of large numbers, a well-established statistical principle.  The law of large numbers states that as the number of random events increases, the average outcome gets closer to the expected probability.  This applies in situations where many trials happen, and while past results of individual events are independent, the law describes the behavior of averages over a large number of trials.  For instance, the average weight of a large sample of apples will likely be close to the expected average weight of an apple, even if some individual apples are heavier or lighter than expected.

However, in everyday situations (with a limited number of events), the law of averages is generally not a helpful way to think about chance or probabilities.

Understanding these misconceptions can help us make better decisions and avoid false expectations based on flawed reasoning.

Psychological Reasons Behind the Belief

Human decision-making suffers from a range of tendencies and biases.

Earlier, we discussed the tendency to find patterns, even where none exist.  Next, we will consider cognitive bias.  In our coin-flipping example, it is the representativeness heuristic that makes us assume that small samples should resemble the larger population they come from.

Emotional factors also play a role.  The desire for control in uncertain situations can make us latch onto the law of averages as a comforting notion.  Believing that things will "even out" gives us a sense of predictability and fairness in an otherwise random world.

Additionally, social influences can reinforce these beliefs.  Stories and anecdotes about streaks ending or luck changing often circulate among friends and family, further embedding the misconception into our collective consciousness.

Understanding these psychological reasons helps explain why the law of averages persists despite its flaws.  Recognizing these biases can empower us to think more critically about probability and chance events.

Improving Decision-Making in Gambling and Investing

Recognizing the fallacy of the law of averages can significantly enhance decision-making, particularly in gambling and investing.  Understanding that each event is independent can help participants make more rational choices.  Instead of chasing losses with the hope that a win is "due," savvy speculators understand their odds remain constant and may choose to walk away or set strict limits on their betting behavior.

In investing, this knowledge is equally crucial.  Many factors influence markets.  Nonetheless, believing that a stock "must" rebound after a series of declines too often leads to poor investment decisions.  Investors who grasp that past performance does not dictate future results are better equipped to evaluate investments based on fundamentals rather than emotions or flawed expectations.

By dispelling these misconceptions, you can approach gambling or investing with a clearer mindset, reducing the risk of substantial losses driven by erroneous beliefs about probability and chance.

You can also eliminate fear, greed, and discretionary mistakes by relying on algorithms to calculate realtime expectancy scores and take the road less stupid.  Take a different kind of chance.  Just ask our AI Overlords; they'll tell you what to expect!

Father's Day Weekend Reflections

My adult son took me to a Pixar movie and Dallas' version of NY Deli today for Father's Day. 

Pixar movies never cease to amaze me.  Whether you're a child, a teenager, or an adult, there's always something to enjoy and take away from them.

I especially enjoyed watching it next to my 31-year-old son and noticing that he responded emotionally to the same scenes I did.  On one hand, it felt good to see what he processed and how he internalized things similar to the way I do.  On the other hand, I thought, genetics is a bitch.

Jokes aside, having great kids is a double blessing.  It's nice to be proud of who your kids are and the things they do.  It's also nice to feel proud of the small part you played in helping them become who they are.

In addition, this weekend, I spent some time thinking about my father and what a terrific influence he had on so many lives.

  

 

My Dad was incredibly loving ... yet he was also incredibly demanding.

For example, after winning the State Championship in the shot put, I watched him run down from the stands.  I figured he was coming down to celebrate.  Instead, he looked deeply into my eyes and asked whether I was disappointed that I did not throw a personal best that day?  I replied: "But Dad, I won." He smiled and recognized that winning was important too ... then he reminded me that the other throwers were not my real competition.  To be and do your best, the competition is really with yourself ... and we both knew I could do better.

My Dad believed in setting high standards.  He explained that most people's lives are defined by their minimum standards.  Why?  Because once those standards get met, it is easy to get distracted by other things and how to meet the minimum standards for them as well.

The point is to set a higher standard and to have a better life.

Here is another one of his favorite sayings.  "The difference between good and great is infinitesimal."  This applies to many things.  For example, people who are good take advantage of opportunities; people who are great create them. 

Here is something else worth sharing.  "It's not over until we win!"  This concept underscores the importance of resilience, commitment, and grit.  My Dad emphasized that many people quit when they're on the brink of victory, simply because they don't realize how close they are.  

This has led me to develop several practices.  For example, if I pick up a book, I won't put it down until I finish a chapter.  If I start a game, I can't stop until I exceed a specific score or level.  And when I exercise, there's no way I'd ever stop before finishing a set.

Integrating these concepts involves aligning your head, heart, and feet.  What I mean is that it's one thing to know the saying.  It's another to make it a value or belief.  And it's another thing altogether to make it a practice. 

Well, that should explain a little of my dysfunction ...  but, if you can't mess up your own kids, whose kids can you mess up?

Hopefully, you had a happy Father's Day weekend.

Correlation Between Market Crashes & Oreos?!

During the Robinhood & Gamestop debacle in 2021, I wrote an article about r/WallStreetBets where I essentially said that most of the retail investors that frequent the site don’t know what they’re doing ... Occasionally, however, there are posts that present the type of solid research or insights you might see from a respected Wall Street firm.

With Gamestop and AMC both surging recently, I thought this was a topic worth revisiting. 

As an example of good research done by the subreddit, here’s a link to a post where a user (nobjos) analyzed 66,000+ buy and sell recommendations by financial analysts over the last 10 years to see if they had an edge.  Spoiler: maybe, but only if you have sufficient AUM to justify the investment in their research. 

Some posts demonstrate a clear misunderstanding of markets, and the subreddit certainly contains more jokes than quality posts.  Nevertheless, I saw a great example of a post that pokes fun at the concept that correlation does not equal causation. 

I’ve posted about the Super Bowl Indicator and the Big Mac Index in the past, but what about Oreos?  Read what’s next for mouth-watering market insights.

The increasingly-depraved debuts of Oreos with more stuffing indicate unstable amounts of greed and leverage in the system, serving as an immediate indicator that the makings of a market crash are in place. Conversely, when the Oreo team reduces the amount of icing in their treats, markets tend to have great bull runs until once again society demands to push the boundaries of how much stuffing is possible.

1974: Double Stuf Oreo released. Dow Jones crashes 45%. FTSE drops 73%.

1987: Big Stuf Oreo released. Black Monday, a 20% single-day crash and a following bear market.

1991: Mini Oreo introduced. Smaller icing ratios coincide with the 1991 Japanese asset price bubble, confirming the correlation works both ways and a reduction of Oreo icing may be a potential solution to preventing a future crash.

2011: Triple Double Oreo introduced. S&P drops 21% in a 5-month bear market

2015: Oreo Thins introduced. A complete lack of icing causes an unprecedented bull run in the S&P for years

2019: The Most Stuf Oreo briefly introduced. Pulled off the shelf before any major market damage could occur.

2021: The Most Stuf Oreo reintroduced. Market response: ???

 - LehmanParty via Reddit

It’s surprisingly good due diligence, but it’s also clearly just meant to be funny.  It resonates because we crave order and look for signs that make markets seem a little bit more predictable.

The problem with randomness is that it often appears meaningful. 

Many people on Wall Street have ideas about how to guess what will happen with the stock market or the economy.  Unfortunately, they often confuse correlation with causation.  At least with the Oreo Indicator, we know that the idea was supposed to be thought-provoking (but silly) rather than investment advice to be taken seriously.

More people than you would hope or guess attempt to forecast the market based on gut, ancient wisdom, and prayers.

While hope and prayer are good things ... they aren’t reliably good trading strategies.

Consider this a reminder that even if you do the work, you’ll likely get a bad answer if you use the wrong inputs. 

Garbage in, garbage out. 

Onwards!

Making News Beautiful Again

My mother watches the news religiously.  To her credit, she watches a variety of sources and creates her own takeaways based on them.  Regardless, there's a common theme in all the sources she watched – they focus on fear or shock-inducing stories with a negative bias.  As you might guess, I hear it when I talk with her.

While I value being informed, I also value things that nourish or make you stronger (as opposed to things that make you weak or less hopeful).

Negativity Sells. 

Sure, news sources throw in the occasional feel-good story as a pattern interrupt ... but their focus skews negative.  History shows that stories about improvement or the things that work simply don't grab eyeballs, attention, or ratings as consistently as negativity-focused stories do.

The reality is that negativity sells.  If everything were great all the time, people wouldn't need to buy as many products, they wouldn't need to watch the news, and this cycle wouldn't continue.

It's worth acknowledging and understanding the perils our society is facing, but it's also worth focusing on the ways humanity is expanding and improving.

As a brief respite from the seemingly unending stream of doom and gloom, Information Is Beautiful has a section focused on "Beautiful News".  It's a collection of visualizations highlighting positive trends, uplifting statistics, and creative solutions.  It's updated daily and can be sorted by topic.  I suggest you check it out.

 

Beautiful News via Information Is Beautiful

If you're looking for more "good news," here's a list of 10 sources focusing on good news. 

Let me know if you have a site you'd like to share.

Have a great week!

Some Timeless Wisdom From Socrates

Small distinctions separate wise men from fools ... Perhaps most important among them is what the wise man deems consequential. 

This post discusses Socrates' Triple Filter Test, which involves checking information for truth, goodness, and usefulness.  It also explores how this concept applies to decision-making in business and life by focusing on important information and filtering out the rest.  The key to making better choices and staying focused is to avoid damaging or irrelevant information.

Socrates' Triple Filter

In ancient Greece, Socrates was reputed to hold knowledge in high esteem.  One day an acquaintance met the great philosopher and said, "Do you know what I just heard about your friend?"

"Hold on a minute," Socrates replied. "Before telling me anything, I'd like you to pass a little test. It's called the Triple Filter Test."

"Triple filter?"

"That's right," Socrates continued.  "Before you talk to me about my friend, it might be a good idea to take a moment and filter what you're going to say. That's why I call it the triple filter test.

The first filter is Truth.  Have you made absolutely sure that what you are about to tell me is true?"

"No," the man said, "Actually I just heard about it and…"

"All right," said Socrates. "So you don't really know if it's true or not. Now let's try the second filter, the filter of Goodness.  Is what you are about to tell me about my friend something good?"

"No, on the contrary…"

"So," Socrates continued, "You want to tell me something bad about him, but you're not certain it's true.  You may still pass the test though, because there's one filter left.  The third filter is Usefulness.  Is what you want to tell me about my friend going to be useful to me?"

"No, not really."

"Well," concluded Socrates, "If what you want to tell me is neither true, nor good, nor even useful … then why tell it to me at all?"

With all the divisiveness in both media and in our everyday conversations with friends, family, and strangers ... this is a good filter for what you say, what you post, and even how you evaluate markets, the economy, or a business opportunity. 

How Does That Apply to Me or Trading?

The concept of Socrates' Triple Filter applies to markets as well.

When I was a technical trader, rather than looking at fundamental data and scouring the news daily, I focused on developing dynamic and adaptive systems and processes to look at the universe of trading algorithms to identify which were in phase and likely to perform well in the current market environment.

That focus has become more concentrated as we've transitioned to using advanced mathematics and AI to understand markets. 

Filter Out What Isn't Good For You.

In contrast, there are too many ways that the media (meaning the techniques, graphics, music, etc.), the people reporting it, and even the news itself appeal to the fear and greed of human nature.

Likewise, I don't watch the news on TV anymore.  It seems like story after story is about terrible things.  For example, during a recent visit with my mother, I listened to her watch the news.  There was a constant stream of "oh no," or "oh my," and "that's terrible".  You don't even have to watch the news to know what it says.

These concepts also apply to what you feed your algorithms.  Garbage in, garbage out.  Just because you can plug in more data doesn't mean that data will add value.  Deciding what "not to do" and "what not to listen to" is equally as important as deciding what to do. 

Artificial intelligence is exciting, but artificial stupidity is terrifying. 

What's The Purpose of News for You?

My purpose changes what I'm looking for and how much attention I pay to different types of information.  Am I reading or watching the news for entertainment, to learn something new, or to find something relevant and actionable?

 

 

One of my favorite activities is looking for new insights and interesting articles to share with you and my team.  If you aren't getting my weekly reading list on Fridays - you're missing out.  You can sign up here. 

By the way, I recently found a site, Ground News, that makes it easy to compare news sources, read between the lines of media bias, and break free from the blinders the algorithms put on what we see.  I'd love to hear about tools or sites you think are worth sharing.

Getting back to Socrates' three filters and business, I often ask myself: is it important, does it affect our edge, or can I use it as a catalyst for getting what we want?

There's a lot of noise out there competing for your attention.  Stay focused. 

Onwards!

Nvidia In Perspective

In June of last year, Nvidia passed a Trillion-Dollar Market Capitalization. 

Here’s where it stands a year later. 

via visual capitalist

Did you know that Nvidia is now the third most valuable company in the world?  It sits behind only Microsoft and Apple (though it’s nearing Apple). 

These figures are even more impressive when you consider that at the beginning of 2020, Nvidia was valued at $145 billion.

Nvidia’s growth was built largely on the back of AI hype.  Its chips have been a mainstay of AI and data science technologies, benefitting a litany of AI projects, gaming systems, crypto mining, and more.  It has successfully moved from a product company to a platform. 

Do you think it’s going to continue to grow?  I do.

We’ve talked about hype cycles ... nevertheless, Nvidia’s offerings seem to be for the type of technology that will continue to be the underpinning of future progress.  So, while we’re seeing disillusionment toward AI, it may not affect Nvidia as intensely.

This week, I saw an article in the WSJ titled “The AI Revolution Is Already Losing Steam,” – claiming that the pace of innovation in AI is slowing, its usefulness is limited, and the cost of running it remains exorbitant.

This is ridiculous!  We are at the beginning of something growing exponentially.  It’s hard for most people to recognize the blind spot consisting of things they can’t conceive of ... and what’s coming is hard to conceive, let alone believe is possible!

On The Horizon: Artificial Intelligence Agents

In last week's article on Stanford's AI Index, we broadly covered many subjects. 

There's one I felt like covering in more depth.  It's the concept of AI Agents. 

One way to improve AI is to create agentic AI systems capable of autonomous operation in specific environments.  However, agentic AI has long challenged computer scientists.  The technology is only just now starting to show promise.  Current agents can play complex games, like Minecraft, and are much better at tackling real-world tasks like research assistance and retail shopping. 

A common discussion point is the future of work.  The concept deals with how automation and AI will redefine the workforce, the workday, and even what we consider to be work. 

Up until now, AI has been in very narrow applications.  Powerful applications, but with limited breadth of scope.  Generative AI and LLMs have increased the variety of tasks we can use AI for, but that's only the beginning. 

via Aniket Hingane

AI agents represent a massive step toward intelligent, autonomous, and multi-modal systems working alongside skilled humans (and replacing unskilled workers) in a wide variety of scenarios. 

Eventually, these agents will be able to understand, learn, and solve problems without human intervention.  There are a few critical improvements necessary to make that possible. 

• Flexible goal-oriented behavior
• Persistent memory & state tracking
• Knowledge transfer & generalization
• Interaction with real-world environments

As models become more flexible in understanding and accomplishing their goals and begin to apply that knowledge to new real-world domains, models will go from intelligent-seeming tools to powerful partners with the ability to handle multiple tasks like a human would. 

While they won't be human (or perhaps even seem human), we are on the verge of a technological shift that is a massive improvement from today's chatbots. 

I like to think of these agents as the new assembly line.  The assembly line revolutionized the workforce and drove an industrial revolution, and I believe AI agents will do the same.

As technology evolves, improvements in efficiency, effectiveness, and certainty are inevitable.  For example, with a proverbial army of agents creating, refining, and releasing content, it is easy to imagine a process that would take multiple humans a week getting done by agents in under an hour (even with human approval processes). 

To make it literal, imagine using agents to write this article. One agent can be skilled in writing outlines and crafting headlines.  Another could focus on research and verification of research.  Then you have an agent to write, an agent to edit and proofread, and a conductor agent who makes sure that the quality is up to snuff, and replicates my voice.  If the goal was to make it go viral, there could be a virality agent, an SEO keyword agent, etc.

Separating the activities into multiple agents (instead of trying to craft a vertical integrative agent) reduces the chances of "hallucinations" and self-aggrandization.  It can also theoretically wholly remove the human from the process. 

via Aniket Hingane

Now, I enjoy the writing process.  I'm not trying to remove myself from this process.  But, the capability is still there. 

As agentification increases, I believe humans will still be a necessary part of the feedback loop process.  Soon, we will start to see agent-based companies.  Nonetheless, I still believe that humans will be an important part of the workforce (at least during my lifetime). 

Another reason humans are important is because they are still important gatekeepers ... meaning, humans have to become comfortable with a process to allow it.

Trust and transparency are critical to AI adoption.  Even if AI excels at a task, people are unlikely to use it blindly.  To truly embrace AI, humans need to trust its capabilities and understand how it arrives at its results.  This means AI developers must prioritize building systems that are both effective and understandable.  By fostering a sense of ease and trust, users will be more receptive to the benefits AI or automation offers.

Said a different way, just because AI can do something doesn't mean that you will use the tool or let AI do it.  It has to be done a "certain" way in order for you to let it get done ... and that involves a lot of trust.  As a practical reality, humans don't just have to trust the technology; they also have to trust and understand the process.  That means the person building the AI or creating the automation must consider what it would take for a human to feel comfortable enough to allow the benefit.

Especially as AI becomes more common (and as an increasingly large amount of content becomes solely created by artificial systems), the human touch will become a differentiator and a way to appear premium. 

via Aniket Hingane

In my business, the goal has never been to automate away the high-value, high-touch parts of our work.  I want to build authentic relationships with the people I care about — and AI and automation promise to eliminate frustration and bother to free us up to do just that.

The goal in your business should be to identify the parts in between those high-touch periods that aren't your unique ability - and find ways to automate and outsource them. 

Remember, the heart of AI is still human (at least until our AI Overlords tell us otherwise).

Onwards!